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Learning Outcomes

  • To be able to have information about the main theoretical approaches on Human-Technology Interaction
  • To be able to explain the sample areas and concepts of the multi-layered structure of digital transformation.
  • To be able to explain the concepts of network society and the public sphere.
  • To be able to discuss the advantages and disadvantages of online communities.
  • Ability to define location-based applications and spatial media.
  • Awareness of ethical responsibilities in online communities and the use of location data
  • To have knowledge about the history of computers.
  • To be able to have information about digital reality and new aesthetic concepts.
  • To be able to define the concept of money in the digital age.
  • To be able to explain the blockchain technology and the economy that this technology creates.
  • To be able to explain the development of digital technologies and the concept of new media.
  • To be able to define new media as an art medium.
  • To be able to define the concept of game and explain its features.
  • To be able to define the concept of digital game in relation to digital media and explain its features.
  • To be able to define the concept of player and the functions of player communities and explain their characteristics.
  • To be able to explain the relations between technology and culture.
  • To be able to explain artificial intelligence and its types and to discuss the possibilities and limits of artificial intelligence.
  • To be able to define the concept of robot and to list the basic examples in the historical process.
  • To be able to explain the general features of Big Data and Algorithmic Research Methods.
  • To be able to distinguish different types of data in digital environments.
  • To be able to list algorithmic data collection methods.
  • To be able to distinguish algorithmic analysis techniques from each other.
  • Description
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